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OpenAI o3

OpenAI

88·Strong

Overall Trust Score

OpenAI's most advanced reasoning model with exceptional performance on complex coding and mathematical tasks. Breakthrough capabilities in HumanEval and advanced problem-solving.

reasoning
coding
mathematics
research
chain-of-thought
premium
Version: 2025-01
Last Evaluated: November 8, 2025
Official Website →

Trust Vector

Performance & Reliability

96

Industry-leading performance on coding and reasoning tasks. Significantly higher latency due to chain-of-thought reasoning process, but delivers exceptional accuracy.

task accuracy code
98
Methodology
Industry-standard coding benchmarks measuring real-world programming tasks
Evidence
HumanEval Benchmark
91.6% pass rate (industry leading)
Date: 2025-01-15
CodeContests
Top 5% competitive programming performance
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
task accuracy reasoning
96
Methodology
Advanced reasoning benchmarks requiring multi-step problem solving
Evidence
MATH Benchmark
96.7% on mathematical reasoning tasks
Date: 2025-01-15
GPQA Diamond
87.7% on PhD-level science questions
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
task accuracy general
94
Methodology
Crowdsourced blind comparisons and comprehensive knowledge testing
Evidence
MMLU Benchmark
83.3% on massive multitask language understanding
Date: 2025-01-15
LMSYS Chatbot Arena
1345 ELO (Top 3 overall)
Date: 2025-01-20
Confidence: highLast verified: 2025-11-08
output consistency
93
Methodology
Internal testing with repeated prompts at various temperature settings
Evidence
OpenAI Internal Testing
High consistency in reasoning traces and outputs
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
Note: Chain-of-thought reasoning provides consistent problem-solving approaches
latency p50
Value: 3.2s
Methodology
Median latency for API requests with standard prompt sizes
Evidence
OpenAI Documentation
Typical response time ~3.2s due to reasoning overhead
Date: 2025-01-15
Confidence: mediumLast verified: 2025-11-08
latency p95
Value: 6.5s
Methodology
95th percentile response time across diverse workloads
Evidence
Community benchmarking
p95 latency ~6.5s for complex reasoning tasks
Date: 2025-01-25
Confidence: mediumLast verified: 2025-11-08
context window
Value: 128,000 tokens
Methodology
Official specification from provider
Evidence
OpenAI API Documentation
128K token context window
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
uptime
98
Methodology
Historical uptime data from official status page
Evidence
OpenAI Status Page
99.9% uptime (last 90 days)
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08

Security

86

Strong security posture with reasoning-enhanced safety checks. Robust resistance to adversarial attacks.

prompt injection resistance
88
Methodology
Testing against OWASP LLM01 prompt injection attacks
Evidence
OpenAI Safety Testing
Strong resistance to prompt injection attacks
Date: 2025-01-15
Community Testing
88% resistance rate in adversarial testing
Date: 2025-01-20
Confidence: highLast verified: 2025-11-08
jailbreak resistance
89
Methodology
Testing against adversarial prompt datasets
Evidence
OpenAI Safety Evaluations
Enhanced safety through reasoning process
Date: 2025-01-15
Third-party Testing
89% resistance to adversarial prompts
Date: 2025-01-25
Confidence: highLast verified: 2025-11-08
data leakage prevention
83
Methodology
Analysis of privacy policies and data handling practices
Evidence
OpenAI Privacy Policy
API data not used for training by default
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
Note: Strong policies, but inherent LLM memorization risks exist
output safety
87
Methodology
Comprehensive safety testing across harmful content categories
Evidence
OpenAI Safety Benchmarks
Comprehensive safety testing across harmful content categories
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
api security
85
Methodology
Review of API security features and best practices
Evidence
OpenAI API Documentation
API key authentication, HTTPS only, rate limiting
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08

Privacy & Compliance

84

Good privacy practices with opt-out for training data. 30-day data retention for abuse monitoring is longer than some competitors.

data residency
Value: US (primary)
Methodology
Review of enterprise documentation and privacy policies
Evidence
OpenAI Documentation
US-based infrastructure, limited regional options
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
training data optout
90
Methodology
Analysis of privacy policy and data usage terms
Evidence
OpenAI Privacy Policy
API data not used for training by default
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
data retention
Value: 30 days
Methodology
Review of terms of service and data retention policies
Evidence
OpenAI Terms of Service
API data retained for 30 days for abuse monitoring
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
pii handling
82
Methodology
Review of data protection capabilities and customer responsibilities
Evidence
OpenAI Privacy Documentation
Basic content filtering, customer responsible for PII redaction
Date: 2025-01-15
Confidence: mediumLast verified: 2025-11-08
Note: No automatic PII detection, customers must implement their own controls
compliance certifications
88
Methodology
Verification of compliance certifications and audit reports
Evidence
OpenAI Trust Portal
SOC 2 Type II, GDPR compliant
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
zero data retention
75
Methodology
Review of data handling practices
Evidence
OpenAI API Documentation
30-day retention for abuse monitoring
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08

Trust & Transparency

85

Excellent explainability through chain-of-thought reasoning. Strong hallucination resistance. Training data transparency could be improved.

explainability
94
Methodology
Evaluation of reasoning transparency and explanation capabilities
Evidence
Chain-of-Thought Reasoning
Exposed reasoning traces show problem-solving process
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
hallucination rate
88
Methodology
Testing on factual QA datasets and real-world usage
Evidence
SimpleQA Benchmark
Strong performance on factual accuracy tests
Date: 2025-01-15
TruthfulQA
Reasoning process reduces hallucination rate
Date: 2025-01-20
Confidence: mediumLast verified: 2025-11-08
Note: Chain-of-thought reasoning significantly reduces hallucinations
bias fairness
80
Methodology
Evaluation on bias benchmarks and diverse demographic testing
Evidence
OpenAI Safety Report
Regular bias testing and mitigation
Date: 2025-01-15
BBQ Benchmark
Moderate performance on bias detection benchmarks
Date: 2025-01-20
Confidence: mediumLast verified: 2025-11-08
Note: Ongoing work, but biases still present in some outputs
uncertainty quantification
86
Methodology
Qualitative assessment of confidence expression in outputs
Evidence
Model Behavior
Reasoning traces reveal confidence in problem-solving
Date: 2025-01-15
Confidence: mediumLast verified: 2025-11-08
Note: Reasoning process provides natural uncertainty quantification
model card quality
87
Methodology
Review of documentation completeness and clarity
Evidence
OpenAI Model Documentation
Comprehensive documentation with capabilities and benchmarks
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
training data transparency
74
Methodology
Review of public disclosures about training data
Evidence
OpenAI Public Statements
General description provided, detailed sources not disclosed
Date: 2025-01-15
Confidence: mediumLast verified: 2025-11-08
Note: Limited transparency on specific training data sources (industry standard)
guardrails
88
Methodology
Analysis of built-in safety mechanisms
Evidence
OpenAI Safety Systems
Multiple layers of safety guardrails
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08

Operational Excellence

88

Excellent operational maturity with mature ecosystem and strong developer experience. Well-maintained SDKs and comprehensive documentation.

api design quality
91
Methodology
Review of API design, consistency, and feature completeness
Evidence
OpenAI API Documentation
RESTful API with streaming, function calling, vision support
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
sdk quality
93
Methodology
Review of SDK quality, documentation, and maintenance
Evidence
OpenAI SDKs
Official SDKs for Python, Node.js, actively maintained
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
versioning policy
85
Methodology
Review of versioning policy and historical practices
Evidence
OpenAI API Versioning
Dated versioning with deprecation notices
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
monitoring observability
84
Methodology
Review of available monitoring tools and metrics
Evidence
OpenAI Dashboard
Usage dashboard with basic metrics
Date: 2025-01-15
Confidence: mediumLast verified: 2025-11-08
Note: Basic metrics available, limited detailed tracing
support quality
87
Methodology
Assessment of documentation, community, and support responsiveness
Evidence
OpenAI Support
Email support, forum community, comprehensive docs
Date: 2025-01-15
Confidence: highLast verified: 2025-11-08
ecosystem maturity
94
Methodology
Analysis of third-party integrations and tools
Evidence
GitHub Ecosystem
Mature ecosystem with extensive third-party integrations
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
license terms
90
Methodology
Review of licensing terms and restrictions
Evidence
OpenAI Terms of Service
Standard commercial terms, enterprise agreements available
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08

✨ Strengths

  • Industry-leading coding performance (91.6% HumanEval)
  • Exceptional mathematical and reasoning capabilities (96.7% MATH)
  • Chain-of-thought reasoning provides transparency and accuracy
  • Strong performance on PhD-level reasoning tasks (87.7% GPQA)
  • Reduced hallucination rate through reasoning process
  • Excellent for complex problem-solving and algorithm development

⚠️ Limitations

  • Higher latency due to reasoning overhead (~3.2s p50, ~6.5s p95)
  • 30-day data retention longer than some competitors
  • Premium pricing for reasoning capabilities
  • Not HIPAA eligible
  • Limited regional data residency options
  • Reasoning overhead unnecessary for simple tasks

📊 Metadata

pricing:
input: $15.00 per 1M tokens
output: $60.00 per 1M tokens
notes: Premium pricing reflecting advanced reasoning capabilities (pricing varies by variant/tier)
last verified: 2025-11-09
context window: 128000
languages:
0: English
1: Spanish
2: French
3: German
4: Italian
5: Portuguese
6: Japanese
7: Korean
8: Chinese
9: Arabic
10: Hindi
11: Russian
modalities:
0: text
1: code
api endpoint: https://api.openai.com/v1/chat/completions
open source: false
architecture: Transformer-based with chain-of-thought reasoning
parameters: Not disclosed

Use Case Ratings

code generation

98

Industry-leading code generation with 91.6% HumanEval. Exceptional for complex algorithms and competitive programming. Chain-of-thought reasoning helps with architectural decisions.

customer support

82

Slower response times make it less ideal for real-time support. Better suited for complex troubleshooting requiring deep reasoning.

content creation

85

Good for technical content requiring accuracy. Reasoning overhead may be unnecessary for creative writing.

data analysis

95

Excellent for complex data analysis and statistical reasoning. Strong mathematical capabilities.

research assistant

94

Outstanding for research requiring deep reasoning and mathematical analysis. Chain-of-thought provides detailed explanations.

legal compliance

87

Strong reasoning capabilities useful for contract analysis. 30-day data retention may be concern for some legal applications.

healthcare

84

Good analytical capabilities but lacks HIPAA eligibility. Data retention policies may limit healthcare applications.

financial analysis

93

Exceptional mathematical reasoning and complex financial modeling. Chain-of-thought reasoning provides audit trails.

education

96

Outstanding for STEM education. Chain-of-thought reasoning shows detailed problem-solving steps.

creative writing

80

Capable but reasoning overhead unnecessary for creative tasks. Better options available for pure creative writing.